Machine learning and neuromorphic computing network models have distinct strengths in processing spatiotemporal data. Here, authors propose hybrid spatiotemporal neural networks that combine these models, achieving better accuracy, robustness, and efficiency in varied environments across various benchmarks and real-world tasks.
- Yujie Wu
- Bizhao Shi
- Lei Deng